Pages that link to "Item:Q5305499"
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The following pages link to Modeling Multivariate Count Data Using Copulas (Q5305499):
Displaying 33 items.
- A general algorithm for covariance modeling of discrete data (Q113808) (← links)
- Using copulas to introduce dependence in dose-response modeling of multiple binary endpoints (Q484515) (← links)
- Sample selection models for count data in R (Q722737) (← links)
- Multivariate negative binomial models for insurance claim counts (Q743134) (← links)
- Finite normal mixture copulas for multivariate discrete data modeling (Q840749) (← links)
- Some properties of multivariate INAR(1) processes (Q1615111) (← links)
- Semi-parametric copula sample selection models for count responses (Q1658729) (← links)
- A bivariate count model with discrete Weibull margins (Q1997324) (← links)
- On the modelling of multivariate counts with Cox processes and dependent shot noise intensities (Q2038217) (← links)
- A flexible multivariate model for high-dimensional correlated count data (Q2040916) (← links)
- A copula transformation in multivariate mixed discrete-continuous models (Q2049229) (← links)
- Multiple inflated negative binomial regression for correlated multivariate count data (Q2097688) (← links)
- Copula based flexible modeling of associations between clustered event times (Q2398456) (← links)
- Computing with bivariate COM-Poisson model under different copulas (Q2628132) (← links)
- Splitting models for multivariate count data (Q2657191) (← links)
- Copula-Based Models for Multivariate Discrete Response Data (Q2849533) (← links)
- Generating correlated random vector involving discrete variables (Q2979941) (← links)
- Modelling the differences in counted outcomes using bivariate copula models with application to mismeasured counts* (Q3023040) (← links)
- Modelling count data via copulas (Q4987237) (← links)
- Spatial Bayesian modeling of GLCM with application to malignant lesion characterization (Q5036500) (← links)
- Gaussian copula-based zero-inflated power series joint models to analyze correlated count data (Q5042196) (← links)
- Matching a correlation coefficient by a Gaussian copula (Q5078373) (← links)
- An integer-valued autoregressive process for seasonality (Q5107714) (← links)
- Nonparametric Estimation of Copula Regression Models With Discrete Outcomes (Q5130616) (← links)
- Copula Analysis of Correlated Counts (Q5133554) (← links)
- A Multivariate Generalized Poisson Regression Model (Q5249205) (← links)
- On the Correlation Structure of Gaussian Copula Models for Geostatistical Count Data (Q5361191) (← links)
- Modelling correlated count data with covariates (Q5454204) (← links)
- A multivariate Poisson regression model for count data (Q5861194) (← links)
- A multivariate Poisson model based on comonotonic shocks (Q6066744) (← links)
- Bivariate Mixed Poisson Regression Models with Varying Dispersion (Q6110489) (← links)
- Kendall's tau estimator for bivariate zero-inflated count data (Q6115514) (← links)
- A review of multivariate distributions for count data derived from the Poisson distribution (Q6607052) (← links)
